Academic Publications

Authors: SI Olurin, E. O., & Oladipo

Authors: O Olurin, SI Oladipo

Authors: AAA Masoje O.M. Akpor-Robaro1, Bridget U. Egwu2, Michael R. Sanni3 ...

Authors: FI Bamidele, EE Anyebe, SO Omoniyi, MO Yakubu, BO Akapo, AO Sanni

Authors: EO OLURIN, B Johnson

Authors: B Ogunyemi

With the wide use of facial verification and authentication systems, the performance evaluation of Spoofing Attack Detection (SAD) module in the systems is important, because poor performance leads to successful face spoofing attacks. PreviousstudiesonfaceSADusedapretrainedVisualGeometryGroup(VGG)-16architecture to extract feature maps from face images using the convolutional layers, and trained a face SAD model to classify real and fake face images, obtaining poor performance for unseen face images. Therefore, this study aimed to evaluate the performance of VGG-19 face SAD model. Experimental approach was used to build the model. VGG-19 algorithm was used to extract Red Green Blue (RGB) and deep neural network features from the face datasets. Evaluation results showed that the performance of the VGG-19 face SAD model improved by 6% compared with the state-of-the-art approaches, with the lowest equal error rate (EER) of 0.4%. In addition, the model had strong generalization ability in top-1 accuracy, threshold operation, quality test, fake face test, equal error rate, and overall test standard evaluation metrics

Authors: MO Erigbe, Patience A.& Makanju

Authors: OM Oluyomi, O. O., Akinyomi, O. J., Omokehinde, J. O., & Adewumi-Lipede

Authors: MA Alam, MA Rahman, MM Rahman, MM Hasan, S Naher, AHF Fahim, ...

Edge computing is currently evolving how information and data is being processed, stored and also delivered to millions of devices digitally connected to the cyber-space. The rise of Internet of Things we now have various devices actively communicating and also sharing, delivering information. Edge computing brings computation and data storage closer to the devices where it’s being gathered, rather than relying on a central location that can be thousands of miles away. This is done so that data, especially real-time data, does not suffer latency issues that can affect an application’s performance. This paper presents a review of edge computing technology and how it has evolved the was information is currently being processed.

Authors: OO Amosun, SA Owolabi, OA Odunlade

Authors: M Anana

Authors: OO Oluyomi, MM Ologundudu, PA Ojo, J.O.& Erigbe

Authors: OO Adebawo, SA Owolabi, FF Adegbie

Authors: PA Erigbe